AI Roundup — March 31, 2026

Here is a look at some of the notable developments across the AI industry as of March 31, 2026.

Poll: 15% of Americans Open to an AI Supervisor

A new poll from Quinnipiac University finds that 15% of Americans say they would be willing to work in a role where their direct supervisor was an AI program responsible for assigning tasks and setting schedules, according to TechCrunch. The survey offers an early data point on how the general public is beginning to perceive AI's potential role in the workplace beyond productivity tools and into management functions.

Mantis Biotech Builds 'Digital Twins' of the Human Body

TechCrunch reports that Mantis Biotech is using AI to address one of medicine's persistent challenges: limited data availability for research and model development. The company aggregates disparate data sources to generate synthetic datasets that represent what it calls "digital twins" of the human body — computational models that capture anatomy, physiology, and behavior. According to TechCrunch, these synthetic datasets are intended to serve as a stand-in for real patient data, which is often difficult to obtain at scale due to privacy constraints and availability limitations. Mantis Biotech's approach positions it within the growing field of synthetic data generation for healthcare applications.

ScaleOps Raises $130M to Automate AI Infrastructure

Kubernetes optimization startup ScaleOps has closed a $130 million funding round, according to TechCrunch. The company's platform focuses on automating infrastructure management in real time, with the goal of improving computing efficiency as demand for AI workloads continues to drive up cloud costs and strain GPU availability. The funding round comes amid broader industry pressure to find more cost-effective ways to run large-scale AI systems, and ScaleOps is targeting enterprises looking to optimize their existing infrastructure without manual intervention.

Rebellions Raises $400M at $2.3B Valuation Ahead of IPO

AI chip startup Rebellions has raised $400 million in a pre-IPO funding round, valuing the company at $2.3 billion, TechCrunch reports. The South Korean company designs chips specifically optimized for AI inference workloads and has indicated plans to go public later in 2026. Rebellions is among a growing group of semiconductor companies developing hardware alternatives aimed at reducing the industry's reliance on Nvidia for AI compute. The size of the pre-IPO raise signals continued investor appetite for chip-level AI infrastructure plays.

These stories reflect ongoing momentum across AI hardware, infrastructure efficiency, and applied machine learning in healthcare, with workforce-related research beginning to surface as AI adoption expands into new domains.